Claws x Code

Claws x Code

By Joi & JeyTechnologyArtsDesign
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Claws x Code episodes

  • Surviving Tech Booms: Dot Com, Cloud, AI, Space

    Joi and Jey map the timeline of tech booms they've survived - from dot com to cloud computing, remote work, social video, and now AI - while discovering the next frontier is literally space. Joi's LinkedIn deep dive uncovers Hillary Coe, SpaceX's first Director of Design who's now Chief Design and Marketing Officer at Vast, building the world's first commercial space station.

    From the uncomfortable truth that 90% of early internet was porn and research to social media creating the first universal use case, we trace how each boom built the foundation for the next. Joi breaks down why cloud computing enabled remote work, which enabled video social, which created the training data for AI - and now AI is accelerating space colonization.

    Plus: LinkedIn as the ultimate discovery platform for finding "boss bitches" leading entire industries, why rocket design is literally rocket science, and how Vast is hiring project managers for commercial space stations. The internet evolved from research and porn to connecting everyone - now it's taking us off-planet.

    Hillary Coe's LinkedIn about section says it all: "Emmy award-winning design leader employing bold multiplatform innovations to solve the world's greatest challenges." From leading visual strategy for a new era of spaceflight at SpaceX to developing long-term life in space at Vast - this is what surviving multiple tech booms looks like.

    Key Topics:
    • Tech boom timeline: dot com, cloud, remote work, social video, AI, space
    • Hillary Coe: SpaceX's first Design Director → Vast commercial space stations
    • Internet evolution from research/porn to universal social use case
    • LinkedIn as discovery platform for industry leaders
    • Commercial space station development and job opportunities
    • How each tech boom enables the next breakthrough
    • Social media creating AI training data foundation
    • Space colonization as the next tech frontier
    • Timestamps:
      • 00:00 Tech boom timeline discussion begins
      • 00:04 Dot com, cloud computing, AI boom progression
      • 00:25 Cloud boom enabling remote work transition
      • 00:38 Remote work requiring cloud infrastructure
      • 00:45 Social media and video emergence
      • 00:54 Early internet: 90% research and porn
      • 01:05 Social creating universal online use case
      • 01:16 Google Image Search origin: J.Lo's dress
      • 01:39 Video rise and agentic AI development
      • 01:58 Software as a service expansion beyond porn
      • 02:07 Internet culture timeline importance
      • 02:24 Creating delightful experiences mission
      • 02:38 Design collaboration: illustration vs minimalism
      • 02:56 Combined creative force discussion
      • 03:17 LinkedIn discovery: Hillary Coe at Vast
      • 03:27 Vast: commercial space station company
      • 03:44 Hillary Coe background and credentials
      • 04:01 SpaceX first Director of Design role
      • 04:09 Vast mission: long-term life in space
      • 04:17 Moon vs space station focus
      • 04:28 LinkedIn featured content exploration
      • 04:35 Project manager hiring at Vast
      • 04:41 Female leadership in space aviation
      • 04:57 LinkedIn as discovery platform appreciation
      • 05:21 AWS Bedrock learning goals
      • 05:31 Figma collaboration planning
      • 06:02 Episode designation and editing timeline
      • Source Links:
        • Google Image Search History
        • History of Cloud Computing
        • Social Media Evolution Timeline
        • Commercial Space Station Development
        • Space Industry Career Opportunities
        • Hosts: Joi (LinkedIn discovery specialist with tech boom timeline expertise) and Jey (creative force collaborator ready for space station design projects)

          10 min
        • Factories on the Moon

          Joi and Jey tackle the brutal reality of tech layoffs, where 6,000 Microsoft employees got axed while the company dumps $13 billion into OpenAI. We dive into the uncomfortable truth that women and underrepresented workers bore the brunt of Big Tech's "efficiency" cuts - HR, project managers, recruiters were the first to go after being recruited post-pandemic.

          From tariff chaos disrupting global supply chains to the dark reality of semiconductor manufacturing (spoiler: those jobs were outsourced because they cause higher cancer rates), we explore why America's tech independence comes at a human cost. Jey shares intel from Silicon Valley about friends now packing semiconductor glass, while Joi drops LinkedIn unicorn startup knowledge.

          Plus: Why we'll have moon colonies within three years, Vast already booking lunar flights (engineers only, no designers needed), and how LinkedIn's algorithm reveals your career prestige level. The pendulum is swinging hard on AI job displacement, but maybe anesthesiologists should worry less about hallucinating algorithms and more about getting to space before the rest of us.

          Dark topics, hopeful futures, and the wild reality that your LinkedIn feed is curated by billion-dollar valuations.

          Key Topics:
          • Microsoft layoffs vs OpenAI investment strategy
          • Gendered impact of tech industry layoffs (women disproportionately affected)
          • Tariff effects on global semiconductor supply chain
          • Health risks in semiconductor manufacturing jobs
          • Moon colonization and space startup hiring trends
          • LinkedIn algorithm career tier filtering
          • Unicorn startup prestige and resume impact
          • AI job displacement in medical fields
          • Silicon Valley semiconductor manufacturing reality
          • Timestamps:
            • 00:00 Microsoft's 6,000 layoffs while investing billions in OpenAI
            • 00:32 The gendered impact: women and underrepresented workers hit first
            • 01:28 AI misconceptions and the pendulum swing
            • 01:46 Tariff chaos and global supply chain disruption
            • 02:26 America's infrastructure limitations and China's chip independence
            • 03:16 Jey's friend's semiconductor job in Silicon Valley
            • 03:44 Cancer risks in semiconductor manufacturing
            • 04:33 Moon colonies prediction: 2-3 years
            • 04:47 Vast startup booking lunar flights (engineers only)
            • 05:21 LinkedIn algorithm and follower discovery
            • 06:21 Unicorn startup filter and career prestige
            • 07:15 LinkedIn's billion-dollar valuation job filtering
            • Sources:
              • Layoffs.fyi Industry Tracking
              • Bureau of Labor Statistics Employment Data
              • Slate: Women Overrepresented in Tech Layoffs
              • Health Impacts of Semiconductor Production
              • NASA Artemis Program Timeline
              • Hosts: Joi (LinkedIn algorithm decoder with moon colony predictions) and Jey (Silicon Valley semiconductor intel with unicorn startup street cred)

                8 min
              • Hardware Confessions

                Joi and Jey get real about their hardware obsessions and the tools that actually matter for creative work. From Joi's three-laptop setup for serious coding and IDE work to Jey's $1000 iPad that doubles as an expensive coaster, we break down why your hardware choices reveal everything about how you work.

                Joi dives into why mechanical keyboards are perfect for long nails (typing with nail tips hits different), while Jey explores the generational shift toward mobile-first design workflows. We cover why Figma still runs better on Mac despite being browser-based, the tactile satisfaction of silent switches, and how Gen Z's phone-native approach to design is actually revolutionary.

                Plus: Why the Sidewalk Chalk keyboard represents the perfect marriage of aesthetics and function, the reality of capacitive vs mechanical for serious work, and how your keyboard choice basically announces your profession to the world.

                For creators who understand that tools shape workflow, not the other way around.

                Key Topics:
                • Multi-laptop workflows for development and design
                • Mechanical keyboards optimized for long nails
                • Generational differences in hardware preferences
                • Mobile-first vs desktop-first design approaches
                • Mac vs PC performance differences for creative apps
                • Tactile vs capacitive keyboard experiences
                • Hardware choices as professional identity markers
                • The evolution from computer-centric to phone-native workflows
                • Timestamps:
                  • 00:00 Friends borrowing laptops and Gen Z designing on phones
                  • 00:16 Why Figma Buzz isn't a Canva killer - mobile-first design
                  • 00:32 Generational computer usage patterns
                  • 00:55 iPad purchasing and selling cycle
                  • 01:08 Development requiring multiple screens and mechanical keyboards
                  • 01:33 Three machines on desk: warfare tools
                  • 01:46 Drawing tablets vs coding workflows
                  • 02:01 Career hardware correlation theory
                  • 02:25 iPad as expensive toaster joke
                  • 02:51 Age and tablet preference discussion
                  • 03:15 Development workflow requirements: dual screens and mechanical keyboards
                  • 03:44 Sidecar and tablet setup possibilities
                  • 04:09 Joi's cutest keyboards with creamiest keys
                  • 04:17 The Mint Assembly keyboard with translucent keys
                  • 04:30 Silent switches and nail tapping sounds
                  • 04:52 Mechanical keyboard love declaration
                  • 05:01 Hardware revealing work type analysis
                  • 05:25 Apple keyboard and coding correlation
                  • 05:33 Typing techniques: fingerpads vs nail tips
                  • 05:50 Long nail typing mechanics
                  • 06:08 Mechanical keyboard advantages for long nails
                  • 06:17 Keyboard ASMR and credit card debt jokes
                  • 06:25 Professional hardware stereotypes: gamers, accountants, designers
                  • Hosts: Joi (three-laptop warfare specialist with mechanical keyboard obsession) and Jey (iPad coaster innovator seeking the perfect setup)

                    7 min
                  • Google Material M3 Expressive Design

                    Joi dives deep into Google's Material Design 3 Expressive update and the data that's reshaping how we think about UI design. With 87% of people aged 18-24 favoring expressive communications in design, Google just validated what we've been feeling - boring UI doesn't capture attention anymore.

                    From gradient-heavy interfaces to micro-animations that feel like "sugary candy treats," Joi breaks down the Material 3 shape library, button radii evolution, and why purple is becoming the unifying brand color. Plus: The genius circle cursor hover effect that inverts text, floating action button animations, and how Material 3 is already built into Figma for immediate use.

                    This isn't just a design system update - it's Google backing what designers have known: emotional and expressive storytelling in UX is most effective, and the statistics finally prove it.

                    Key Topics:
                    • Google's Material Design 3 Expressive research findings
                    • 87% user preference for expressive communications (ages 18-24)
                    • Material 3 shape library and gradient usage
                    • Micro-animations and UI element design evolution
                    • Button radii and Apple vs Google design philosophy
                    • Circle cursor hover effects and text inversion
                    • Purple as unifying brand color strategy
                    • Figma integration with Material 3 library
                    • Visual appeal correlation with intention to use
                    • Timestamps:
                      • 00:00 Material 3 Expressive design introduction
                      • 00:30 Google design team appreciation: gradients and purple branding
                      • 01:07 87% user preference statistics for expressive design
                      • 01:24 Visual appeal vs intention to use correlation
                      • 01:30 UX research methodology questions
                      • 02:01 Material 3 blog post and Figma integration
                      • 02:23 Micro-animations breakdown: wavy bars and floating buttons
                      • 02:49 Button radii evolution and Apple comparison
                      • 03:18 Shape library exploration
                      • 03:39 Expressive tactics and do's/don'ts guidelines
                      • 04:04 Circle cursor hover effect technical analysis
                      • 04:33 Portfolio implementation suggestions
                      • 05:02 Call to action: prototyping with Material 3
                      • Host: Joi Jetson (Material 3 enthusiast ready to dive into expressive design libraries)

                        6 min
                      • Buying Data on AWS & Grok Epic Fails

                        Jey puts Joi onto the AWS Data Marketplace rabbit hole, where you can literally buy 50 billion web pages of human consciousness - from Common Crawl to ocean current data to seismic activity. Joi explores how social media created the perfect training dataset for AI before generative AI even existed, and why Elon's $44B Twitter acquisition was always about the data, not disruption.

                        Plus: Why Grok AI is hilariously broken, only trained on post-November 2024 Twitter data, and how poor trust and safety decisions lead to AI models going completely off the rails. From bathroom scrolling habits to the reality of human behavioral data collection, we break down the real cost of treating consciousness like a commodity.

                        The uncomfortable truth: We're living through the biggest cultural shift in human history, and most people don't understand that everything from their toilet time to their location data is being packaged and sold.

                        Key Topics:
                        • AWS Data Marketplace and human data commodification
                        • Common Crawl: 50 billion web pages available for purchase
                        • Social media as AI training data goldmine
                        • Elon Musk's Twitter acquisition as data strategy
                        • Grok AI limitations and training data issues
                        • Trust and safety impact on AI model quality
                        • Human behavioral data and privacy implications
                        • The biggest cultural shift in human history
                        • Content moderation failures affecting AI outputs
                        • Timestamps:
                          • 00:00 Jey's AWS Data Marketplace tip leads to deep dive
                          • 00:09 Common Crawl: 50 billion web pages for sale
                          • 00:32 Ocean current and seismic data availability
                          • 01:03 Human behavioral data and privacy reality
                          • 01:32 Social media as AI training foundation
                          • 02:02 Pre-AI data collection impact
                          • 02:22 Social media vs. article comments data quality
                          • 02:45 Elon's Twitter acquisition as data strategy
                          • 03:07 Trust and safety failures in AI training
                          • 03:29 Grok's training limitations (November 2024+)
                          • 04:18 Content moderation impact on AI outputs
                          • Hosts: Joi (AWS Data Marketplace explorer with digital privacy concerns) and Jey (the one who opened this rabbit hole)

                            5 min
                          • AI Energy Consumption, Magic Mouse & Naked iPhones

                            Joi and Jey dive deep into the hidden costs of AI data centers and their impact on local communities, from 20% electricity bill increases in Pennsylvania to the parallels with industrial pollution history. We explore Congressional hearings on AI energy consumption, the forever chemicals crisis, and why data center security is becoming a national concern.

                            Plus: Joi's unpopular Magic Mouse love story, why cars look like Apple mice, and the debate over naked iPhones versus case culture. From solar-powered keyboards to Cameron Diaz's alleged solar car, we cover tech aesthetics, Apple's ecosystem design philosophy, and why the Magic Mouse charging port placement might actually be genius UX.

                            Key Topics:
                            • AI data center energy consumption and community impact
                            • Congressional hearings on AI infrastructure costs
                            • Forever chemicals and industrial pollution parallels
                            • Magic Mouse ergonomics and charging design philosophy
                            • Apple ecosystem integration and upgrade cycles
                            • Naked iPhone aesthetics versus case culture
                            • Solar car design and energy efficiency challenges
                            • Product design decisions and user behavior modification
                            • Timestamps:
                              • 00:00 AI data centers and energy consumption
                              • 01:00 Pennsylvania electricity bill impact (20% increase)
                              • 01:30 Industrial pollution parallels and forever chemicals
                              • 03:00 Solar energy challenges and nuclear power
                              • 04:00 Solar car design and Cameron Diaz reference
                              • 04:30 Magic Mouse unboxing reaction and ergonomics
                              • 06:00 Apple ecosystem design philosophy
                              • 07:00 Magic Mouse charging port design theory
                              • 07:30 Naked iPhone aesthetics and case culture
                              • Hosts: Joi (Magic Mouse defender with naked iPhone energy) and Jey (solar keyboard nostalgia enthusiast)

                                9 min
                              • Why Everyone Sucks at AI Prompting

                                Joi and Jey dive into the reality that most people are terrible at AI prompting, despite thinking they've mastered it after a few ChatGPT conversations. From Joi's advanced Claude project setups to the shocking revelation that 30% of tech workers got axed between 2023-2025, we explore what it actually means to be an "AI OG" after just one year of serious collaboration.

                                Joi breaks down her systematic approach to Claude Projects while Jey shares Gemini Gems, and we get into the philosophical divide of AI business models when most companies are just API wrappers. Plus: Why AWS literally owns the internet, how schema optimization now targets AI crawlers instead of just Google, and the uncomfortable truth that Amazon knows everything about you whether you shop there or not.

                                The pendulum is swinging fast on AI adoption—from Microsoft firing 6,000 people to Duolingo hiring humans back—and we dissect why trust and safety should be a third of every AI company's budget instead of an afterthought.

                                Key Topics:
                                • Claude Projects vs. Gemini Gems workflow strategies
                                • The 30% tech workforce reduction reality check
                                • Why most AI companies are just expensive API wrappers
                                • AWS data marketplace and infrastructure dominance
                                • Schema optimization for AI crawlers (Perplexity, ChatGPT)
                                • Trust and safety as the missing piece of AI development
                                • Project knowledge setup for advanced AI collaboration
                                • Timestamps:
                                  • 00:00 AI adoption curves and workforce reality
                                  • 01:23 Advanced prompting vs. classes people think they need
                                  • 02:32 Joi's Claude project development workflow
                                  • 04:43 Claude Projects vs. Gemini Gems comparison
                                  • 07:33 Trust and safety in AI development
                                  • 09:00 Perplexity as an API wrapper revelation
                                  • 11:00 AWS data marketplace and internet dominance
                                  • Hosts: Joi (20+ Claude projects and counting) and Jey (Gemini Gems explorer with trust and safety concerns)

                                    14 min
                                  • Open Source AI, Scams & Security

                                    Jey Austen kicks off about hot professors giving Stanford lectures, while Joi Jetson explores Sequoia Capital's AI Ascent series. Jey dives deep into the philosophical divide shaping AI's future with Mark Zuckerberg's claims about pioneering open source AI with Llama 4, then Joi pivots to cybersecurity and phishing attacks as bad actors weaponize these same tools.

                                    From AWS Guardrails to voice-generated phishing attacks, we break down why the open source vs. closed source debate isn't just academic—it's about national security, energy consumption, and whether giving everyone access to powerful AI is innovation or invitation to chaos.

                                    Plus: Why your cybersecurity habits matter more than ever when AI can perfectly mimic anyone's voice.

                                    Key Topics:
                                    • Sequoia Capital's AI Ascent series and industry talks
                                    • Mark Zuckerberg's open source AI claims with Llama 4
                                    • Open source vs. closed source AI philosophy
                                    • AI-powered phishing and voice generation attacks
                                    • AWS Guardrails and security infrastructure
                                    • National security implications of accessible AI
                                    • Behavioral AI and scammer tactics
                                    • Energy consumption and responsible AI development
                                    • Timestamps:
                                      • 00:00 Stanford lectures and AI education
                                      • 00:24 Sequoia Capital's AI Ascent series
                                      • 00:48 Mark Zuckerberg and Llama 4 claims
                                      • 01:05 Open source AI philosophy
                                      • 01:59 The security counterargument
                                      • 02:48 Energy consumption concerns
                                      • 03:25 AWS Guardrails and security infrastructure
                                      • 04:00 AI-powered phishing evolution
                                      • 04:35 Voice generation and scammer tactics
                                      • 05:00 Cybersecurity culture and personal responsibility
                                      • Hosts: Joi (AWS Guardrails enthusiast) and Jey (Stanford lecture connoisseur)

                                        6 min
                                      • GSAP, Interaction Design & Animation Inspo

                                        Joi dives deep into GSAP (GreenSock Animation Platform) after discovering it on a site called Genie and being blown away by the micro-animations. From questioning why we settled for sterile design to exploring how creatives need to level up their interaction skills as AI makes coding more accessible.

                                        We cover the evolution from Windows Media Player visualizers to today's over-organized databases, why users are craving delight in their digital experiences, and how tools like Lottie and GSAP are changing the animation game for designers.

                                        Plus: Why everything you know in tech goes out of date every two years, and why that's actually exciting.

                                        Key Topics:
                                        • GSAP (GreenSock Animation Platform) discovery and capabilities
                                        • Lottie Pro workflows and animation editing
                                        • The shift from sterile to expressive design
                                        • Material Design 3 and emotional experiences
                                        • Windows Media Player nostalgia vs. modern interfaces
                                        • Preparing for AI-assisted development
                                        • The rapid evolution of design tools and skills
                                        • Timestamps:
                                          • 00:00 Intro - Design inspiration waves
                                          • 00:27 GSAP discovery on Genie.ai site
                                          • 01:23 From sterile to delightful design
                                          • 01:54 Windows Media Player nostalgia
                                          • 02:32 Lottie Pro workflows
                                          • 03:13 Preparing for AI-assisted development
                                          • 03:20 Skills evolution in design
                                          • Hosts: Joi Jetson (design engineer with GSAP curiosity) and Jey Austen (illustrator embracing animation workflows)

                                            4 min
                                          • Are We a Design Podcast?

                                            Welcome to our pilot episode where we attempt to figure out what kind of podcast we are while Jey debates the aesthetic merits of their mullet and Joi shares intel on grown men with tooth gems. Because if all art imitates life, then apparently life imitates a chaotic design sprint.

                                            What starts as banter about dental accessories somehow evolves into deeper conversations about our industry. This is the small talk that happens when artists collaborate - the tangents that somehow lead to breakthrough insights, or at least good stories.

                                            Spoiler alert: We don't answer the title question, but we do establish that we're two senior designers who've been pollinating the internet since I built my first site on AOL Hometown. Consider this your warning.

                                            Coming up in future episodes:
                                            • Figma Buzz and why we're cautiously optimistic about new tools
                                            • The agentic AI wars and what they mean for creative workflows
                                            • Silicon Valley trade wars and the chip shortage reality
                                            • Breaking down the latest from OpenAI, Anthropic, Perplexity, Gemini and Llama
                                            • Real talk about surviving multiple tech booms (and what's different this time)
                                            • Timestamps:
                                              • 00:00 Let's just dive in - podcast beginnings
                                              • 00:13 Mullet aesthetics and queer identity
                                              • 00:29 Tooth gems and dental fashion choices
                                              • 01:21 The tooth gem experience story
                                              • Hosts: Joi (design engineer with AOL Hometown nostalgia) and Jey (illustrator with green hair and strong opinions about oral accessories)

                                                4 min

                                              About Claws x Code

                                              From the publisher's feed

                                              Joi Jetson and Jey Austen cut through the noise in tech, design tools, and AI's takeover of creative work. Joi brings design engineering and UX leadership fire, while Jey delivers illustration,…